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Articles 1861 - 1890 of 2767
Full-Text Articles in Computer Sciences
Xic Clustering By Baseyian Network, Kyle J. Handy
Xic Clustering By Baseyian Network, Kyle J. Handy
Graduate Student Theses, Dissertations, & Professional Papers
No abstract provided.
Capia: Cloud Assisted Privacy-Preserving Image Annotation, Yifan Tian, Yantian Hou, Jiawei Yuan
Capia: Cloud Assisted Privacy-Preserving Image Annotation, Yifan Tian, Yantian Hou, Jiawei Yuan
Computer Science Faculty Publications and Presentations
Using public cloud for image storage has become a prevalent trend with the rapidly increasing number of pictures generated by various devices. For example, today's most smartphones and tablets synchronize photo albums with cloud storage platforms. However, as many images contain sensitive information, such as personal identities and financial data, it is concerning to upload images to cloud storage. To eliminate such privacy concerns in cloud storage while keeping decent data management and search features, a spectrum of keywords-based searchable encryption (SE) schemes have been proposed in the past decade. Unfortunately, there is a fundamental gap remains open for their …
Correcting Pedestrian Dead Reckoning With Monte Carlo Localization Boxed For Indoor Navigation, Akira T. Murphy
Correcting Pedestrian Dead Reckoning With Monte Carlo Localization Boxed For Indoor Navigation, Akira T. Murphy
Honors Theses
Localization of phones is a ubiquitous part of the modern mobile electronics landscape. However, there are many situations where the current method of networked localization fails. A Pedestrian Dead Reckoning System where the location of the user is calculated by counting the steps and direction of the user was implemented as an iOS app with python for data analysis. A novel algorithm for wireless sensor localization using Ad-Hoc Bluetooth networks was proposed. A small experiment was performed proving that the system is nearly equal to state of the art algorithms.
An Alternative Approach To Training Sequence-To-Sequence Model For Machine Translation, Vivek Sah
An Alternative Approach To Training Sequence-To-Sequence Model For Machine Translation, Vivek Sah
Honors Theses
Machine translation is a widely researched topic in the field of Natural Language Processing and most recently, neural network models have been shown to be very effective at this task. The model, called sequence-to-sequence model, learns to map an input sequence in one language to a vector of fixed dimensionality and then map that vector to an output sequence in another language without any human intervention provided that there is enough training data. Focusing on English-French translation, in this paper, I present a way to simplify the learning process by replacing English input sentences by word-by-word translation of those sentences. …
Normal Surfaces And 3-Manifold Algorithms, Josh D. Hews
Normal Surfaces And 3-Manifold Algorithms, Josh D. Hews
Honors Theses
This survey will develop the theory of normal surfaces as they apply to the S3 recognition algorithm. Sections 2 and 3 provide necessary background on manifold theory. Section 4 presents the theory of normal surfaces in triangulations of 3-manifolds. Section 6 discusses issues related to implementing algorithms based on normal surfaces, as well as an overview of the Regina, a program that implements many 3-manifold algorithms. Finally section 7 presents the proof of the 3-sphere recognition algorithm and discusses how Regina implements the algorithm.
Security Readiness Evaluation Framework For Tonga E-Government Initiatives, Raymond Lutui, Semisi Hopoi, Siaosi Maeakafa
Security Readiness Evaluation Framework For Tonga E-Government Initiatives, Raymond Lutui, Semisi Hopoi, Siaosi Maeakafa
Australian Information Security Management Conference
The rapid expansion of the Information and Communication Technologies (ICTs) in the Pacific have reached the Kingdom of Tonga. The submarine fibre-optic cable which connects Tonga to Fiji and onward to a hub in Sydney went live 2013. Now the people of Tonga experience the high-speed impact of digital communication, fast international access, and social changes such as the government is implementing a digital society through e-government services. This study focuses on identifying the factors that will later become a vulnerability and a risk to the security of Tonga government e-government initiatives. Data was collected through interviews with three government …
Intelligent Feature Selection For Detecting Http/2 Denial Of Service Attacks, Erwin Adi, Zubair Baig
Intelligent Feature Selection For Detecting Http/2 Denial Of Service Attacks, Erwin Adi, Zubair Baig
Australian Information Security Management Conference
Intrusion-detection systems employ machine learning techniques to classify traffic into attack and legitimate. Network flooding attacks can leverage the new web communications protocol (HTTP/2) to bypass intrusion-detection systems. This creates an urgent demand to understand HTTP/2 characteristics and to devise customised cyber-attack detection schemes. This paper proposes Step Sister; a technique to generate an optimum network traffic feature set for network intrusion detection. The proposed technique demonstrates that a consistent set of features are selected for a given HTTP/2 dataset. This allows intrusion-detection systems to classify previously unseen network traffic samples with fewer false alarm than when techniques used in …
The 2017 Homograph Browser Attack Mitigation Survey, Tyson Mcelroy, Peter Hannay, Greg Baatard
The 2017 Homograph Browser Attack Mitigation Survey, Tyson Mcelroy, Peter Hannay, Greg Baatard
Australian Information Security Management Conference
Since their inception, International Domain Names (IDN) have allowed for non-Latin characters to be entered into domain names. This feature has led to attackers forging malicious domains which appear identical to the Latin counterpart. This is achieved through using non-Latin characters which appear identical to their Latin counterpart. This attack is referred to as a Homograph attack. This research continues the work of Hannay and Bolan (2009), and Hannay and Baatard (2012), which assessed the mitigation methods incorporated by web browsers in mitigating IDN homograph attacks. Since these works, time IDN mitigation algorithms have been altered, such as the one …
A Comparison Of 2d And 3d Delaunay Triangulations For Fingerprint Authentication, Marcelo Jose Macedo, Wencheng Yang, Guanglou Zheng, Michael N. Johnstone
A Comparison Of 2d And 3d Delaunay Triangulations For Fingerprint Authentication, Marcelo Jose Macedo, Wencheng Yang, Guanglou Zheng, Michael N. Johnstone
Australian Information Security Management Conference
The two-dimensional (2D) Delaunay triangulation-based structure, i.e., Delaunay triangle, has been widely used in fingerprint authentication. However, we also notice the existence of three-dimensional (3D) Delaunay triangulation, which has not been extensively explored. Inspired by this, in this paper, the features of both 2D and 3D Delaunay triangulation-based structures are investigated and the findings show that a 3D Delaunay structure, e.g., Delaunay tetrahedron, can provide more feature types and a larger number of elements than a 2D Delaunay structure, which was expected to provide a higher discriminative capability. However, higher discrimination does not necessarily lead to better performance, especially in …
An Investigation Into Some Security Issues In The Dds Messaging Protocol, Thomas White, Michael N. Johnstone, Matthew Peacock
An Investigation Into Some Security Issues In The Dds Messaging Protocol, Thomas White, Michael N. Johnstone, Matthew Peacock
Australian Information Security Management Conference
The convergence of Operational Technology and Information Technology is driving integration of the Internet of Things and Industrial Control Systems to form the Industrial Internet of Things. Due to the influence of Information Technology, security has become a high priority particularly when implementations expand into critical infrastructure. At present there appears to be minimal research addressing security considerations for industrial systems which implement application layer IoT messaging protocols such as Data Distribution Services (DDS). Simulated IoT devices in a virtual environment using the DDSI-RTPS protocol were used to demonstrate that enumeration of devices is possible by a non-authenticated client in …
Deceptive Security Based On Authentication Profiling, Andrew Nicholson, Helge Janicke, Andrew Jones, Adeeb Alnajaar
Deceptive Security Based On Authentication Profiling, Andrew Nicholson, Helge Janicke, Andrew Jones, Adeeb Alnajaar
Australian Information Security Management Conference
Passwords are broken. Multi-factor Authentication overcomes password insecurities, but its potentials are often not realised. This article presents InSight, a system to actively identify perpetrators by deceitful adaptation of the accessible system resources using Multi-factor Authentication profiles. This approach improves authentication reliability and attributes users by computing trust scores against profiles. Based on this score, certain functionality is locked, unlocked, buffered, or redirected to a deceptive honeypot, which is used for attribution. The novelty of this approach is twofold; a profile-based multi-factor authentication approach that is combined with a gradient, deceptive honeypot.
The Convergence Of It And Ot In Critical Infrastructure, Glenn Murray, Michael N. Johnstone, Craig Valli
The Convergence Of It And Ot In Critical Infrastructure, Glenn Murray, Michael N. Johnstone, Craig Valli
Australian Information Security Management Conference
Automation and control systems, such as SCADA (Supervisory Control and Data Acquisition), DCS (Distributed Control Systems) and are often referred to as Operational Technology (OT). These systems are used to monitor and control critical infrastructures such as power, pipelines, water distribution, sewage systems and production control,). Traditionally, these OT systems have had a degree of physical separation from Information Technology (IT) infrastructures. With changing technologies and a drive towards data-driven and remote operations the two technology environments are starting to converge. With this convergence, what was a relatively standalone secure and isolated environment is now connected and accessible via the …
A High-Dimensional Data Quality Metric Using Pareto Optimality, Tobias Post, Thomas Wischgoll, Bernd Hamann, Hans Hagen
A High-Dimensional Data Quality Metric Using Pareto Optimality, Tobias Post, Thomas Wischgoll, Bernd Hamann, Hans Hagen
Computer Science and Engineering Faculty Publications
The representation of data quality within established high-dimensional data visualization techniques such as scatterplots and parallel coordinates is still an open problem. This work offers a scale-invariant measure based on Pareto optimality that is able to indicate the quality of data points with respect to the Pareto front. In cases where datasets contain noise or parameters that cannot easily be expressed or evaluated mathematically, the presented measure provides a visual encoding of the environment of a Pareto front to enable an enhanced visual inspection.
Information Communication Technology Management As A Gdp Growth Contributor Within Arab League Nations, Jamal Alexander Thompson
Information Communication Technology Management As A Gdp Growth Contributor Within Arab League Nations, Jamal Alexander Thompson
Walden Dissertations and Doctoral Studies
The general problem addressed in this study was Arab League nations' over-reliance on fossil fuels as a gross domestic product (GDP) growth driver. Arab League nations that depend primarily on fossil fuel production lack alternative resources for growth in times of fossil fuel usage or price decline. Overdependence on fossil fuels has led to minimal development in other economic sectors, primarily in skilled domestic labor, and to a high dependency on foreign skilled labor for skilled domestic jobs. The purpose of this study was to examine to what extent information communication technology (ICT) management can be a viable GDP growth …
Collaboration Strategies To Reduce Technical Debt, Jeffrey Allen Miko
Collaboration Strategies To Reduce Technical Debt, Jeffrey Allen Miko
Walden Dissertations and Doctoral Studies
Inadequate software development collaboration processes can allow technical debt to accumulate increasing future maintenance costs and the chance of system failures. The purpose of this qualitative case study was to explore collaboration strategies software development leaders use to reduce the amount of technical debt created by software developers. The study population was software development leaders experienced with collaboration and technical debt at a large health care provider in the state of California. The data collection process included interviews with 8 software development leaders and reviewing 19 organizational documents relating to software development methods. The extended technology acceptance model was used …
Strategies To Improve Engagement Among Public Sector Information Technology Employees, Michelle Dawn Benham
Strategies To Improve Engagement Among Public Sector Information Technology Employees, Michelle Dawn Benham
Walden Dissertations and Doctoral Studies
Disengaged employees decrease organizations' efficiencies and profitability. Engaged employees provide greater productivity and performance while being less likely to incur job burnout and exhaustion. However, public sector organizational leaders still struggle to engage their information technology (IT) employees. Partnering with a large public sector organization in the Phoenix, Arizona, metropolitan area, in a case study design, this study explored the strategies that public sector business leaders use to increase productivity through engaging IT employees. The conceptual framework for this study was the job demands-resources framework. Four participants were selected through purposeful sampling from a population of 7 IT leaders who …
Threat Intelligence In Support Of Cyber Situation Awareness, Billy Paul Gilliam
Threat Intelligence In Support Of Cyber Situation Awareness, Billy Paul Gilliam
Walden Dissertations and Doctoral Studies
Despite technological advances in the information security field, attacks by unauthorized individuals and groups continue to penetrate defenses. Due to the rapidly changing environment of the Internet, the appearance of newly developed malicious software or attack techniques accelerates while security professionals continue in a reactive posture with limited time for identifying new threats. The problem addressed in this study was the perceived value of threat intelligence as a proactive process for information security. The purpose of this study was to explore how situation awareness is enhanced by receiving advanced intelligence reports resulting in better decision-making for proper response to security …
Automatic Idiom Recognition With Word Embeddings, Jing Peng, Anna Feldman
Automatic Idiom Recognition With Word Embeddings, Jing Peng, Anna Feldman
Department of Computer Science Faculty Scholarship and Creative Works
Expressions, such as add fuel to the fire, can be interpreted literally or idiomatically depending on the context they occur in. Many Natural Language Processing applications could improve their performance if idiom recognition were improved. Our approach is based on the idea that idioms and their literal counterparts do not appear in the same contexts. We propose two approaches: (1) Compute inner product of context word vectors with the vector representing a target expression. Since literal vectors predict well local contexts, their inner product with contexts should be larger than idiomatic ones, thereby telling apart literals from idioms; and (2) …
Features Of Agent-Based Models, Reiko Heckel, Alexander Kurz, Edmund Chattoe-Brown
Features Of Agent-Based Models, Reiko Heckel, Alexander Kurz, Edmund Chattoe-Brown
Engineering Faculty Articles and Research
The design of agent-based models (ABMs) is often ad-hoc when it comes to defining their scope. In order for the inclusion of features such as network structure, location, or dynamic change to be justified, their role in a model should be systematically analysed. We propose a mechanism to compare and assess the impact of such features. In particular we are using techniques from software engineering and semantics to support the development and assessment of ABMs, such as graph transformations as semantic representations for agent-based models, feature diagrams to identify ingredients under consideration, and extension relations between graph transformation systems to …
Cse: U: Mixed-Initiative Personal Assistant Agents, Joshua W. Buck, Saverio Perugini, Tam Nguyen
Cse: U: Mixed-Initiative Personal Assistant Agents, Joshua W. Buck, Saverio Perugini, Tam Nguyen
Computer Science Faculty Publications
Specification and implementation of flexible human-computer dialogs is challenging because of the complexity involved in rendering the dialog responsive to a vast number of varied paths through which users might desire to complete the dialog. To address this problem, we developed a toolkit for modeling and implementing task-based, mixed-initiative dialogs based on metaphors from lambda calculus. Our toolkit can automatically operationalize a dialog that involves multiple prompts and/or sub-dialogs, given a high-level dialog specification of it. The use of natural language with the resulting dialogs makes the flexibility in communicating user utterances commensurate with that in dialog completion paths—an aspect …
Optimized Multilayer Perceptron With Dynamic Learning Rate To Classify Breast Microwave Tomography Image, Chulwoo Pack
Optimized Multilayer Perceptron With Dynamic Learning Rate To Classify Breast Microwave Tomography Image, Chulwoo Pack
Electronic Theses and Dissertations
Most recently developed Computer Aided Diagnosis (CAD) systems and their related research is based on medical images that are usually obtained through conventional imaging techniques such as Magnetic Resonance Imaging (MRI), x-ray mammography, and ultrasound. With the development of a new imaging technology called Microwave Tomography Imaging (MTI), it has become inevitable to develop a CAD system that can show promising performance using new format of data. The platform can have a flexibility on its input by adopting Artificial Neural Network (ANN) as a classifier. Among the various phases of CAD system, we have focused on optimizing the classification phase …
Visualizing Multidimensional Data With General Line Coordinates And Pareto Optimization, Jacob Brown
Visualizing Multidimensional Data With General Line Coordinates And Pareto Optimization, Jacob Brown
All Master's Theses
These results will show that the use of Linear General Line Coordinates (GLC-L) can visualize multidimensional data better than typical methods, such as Parallel Coordinates (PC). The results of using GLC-L will display visuals with less clutter than PC and be easier to see changes from one graph to the next. Visualizing the Pareto Frontier with GLC-L allows n-D data to be viewed at once, compared to typical methods that are limited to 2 or 3 objectives at a time. This method details the process of selecting a ”best” case, from a group of equals in the Pareto Subset and …
The Rock 2017, School Of Engineering And Computer Science
The Rock 2017, School Of Engineering And Computer Science
The Rock
No abstract provided.
Impact Analysis In Web Applications, Drake Svoboda
Impact Analysis In Web Applications, Drake Svoboda
Research Opportunities for Engineering Undergraduates (ROEU) Program 2017-18
This report defines a method for a condensed single process of software change for web applications by identifying a clear impact to widgets in the user interface. The method described is demonstrated in two sample changes conducted on an open source web application. The full source code for these two case studies can be found in an open access code repository (AScrum).
Data Mining By Grid Computing In The Search For Extrasolar Planets, Oisin Creaner [Thesis]
Data Mining By Grid Computing In The Search For Extrasolar Planets, Oisin Creaner [Thesis]
Doctoral
A system is presented here to provide improved precision in ensemble differential photometry. This is achieved by using the power of grid computing to analyse astronomical catalogues. This produces new catalogues of optimised pointings for each star, which maximise the number and quality of reference stars available. Astronomical phenomena such as exoplanet transits and small-scale structure within quasars may be observed by means of millimagnitude photometric variability on the timescale of minutes to hours. Because of atmospheric distortion, ground-based observations of these phenomena require the use of differential photometry whereby the target is compared with one or more reference stars. …
Panel: Teaching To Increase Diversity And Equity In Stem, Helen H. Hu, Doug Blank, Albert Chan, Travis Doom
Panel: Teaching To Increase Diversity And Equity In Stem, Helen H. Hu, Doug Blank, Albert Chan, Travis Doom
Computer Science Faculty Research and Scholarship
TIDES (Teaching to Increase Diversity and Equity in STEM) is a three-year initiative to transform colleges and universities by changing what STEM faculty, especially CS instructors, are doing in the classroom to encourage the success of their students, particularly those that have been traditionally underrepresented in computer science. Each of the twenty projects selected proposed new interdisciplinary curricula and adopted culturally sensitive pedagogies, with an eye towards departmental and institutional change. The four panelists will each speak about their TIDES projects, which all involved educating faculty about cultural competency. Three of the panelists infused introductory CS courses with applications from …
A Specification For Dependent Types In Haskell, Stephanie Weirich, Antoine Voizard, Pedro Henrique Azevedo De Amorim, Richard A. Eisenberg
A Specification For Dependent Types In Haskell, Stephanie Weirich, Antoine Voizard, Pedro Henrique Azevedo De Amorim, Richard A. Eisenberg
Computer Science Faculty Research and Scholarship
We propose a core semantics for Dependent Haskell, an extension of Haskell with full-spectrum dependent types. Our semantics consists of two related languages. The first is a Curry-style dependently-typed language with nontermination, irrelevant arguments, and equality abstraction. The second, inspired by the Glasgow Haskell Compiler’s core language FC, is its explicitly-typed analogue, suitable for implementation in GHC. All of our results -- chiefly, type safety, along with theorems that relate these two languages -- have been formalized using the Coq proof assistant. Because our work is backwards compatible with Haskell, our type safety proof holds in the presence of nonterminating …
Constrained Type Families, J. Garrett Morris, Richard A. Eisenberg
Constrained Type Families, J. Garrett Morris, Richard A. Eisenberg
Computer Science Faculty Research and Scholarship
We present an approach to support partiality in type-level computation without compromising expressiveness or type safety. Existing frameworks for type-level computation either require totality or implicitly assume it. For example, type families in Haskell provide a powerful, modular means of defining type-level computation. However, their current design implicitly assumes that type families are total, introducing nonsensical types and significantly complicating the metatheory of type families and their extensions. We propose an alternative design, using qualified types to pair type-level computations with predicates that capture their domains. Our approach naturally captures the intuitive partiality of type families, simplifying their metatheory. As …
Computational Methods For Prediction And Classification Of G Protein-Coupled Receptors, Khodeza Begum
Computational Methods For Prediction And Classification Of G Protein-Coupled Receptors, Khodeza Begum
Open Access Theses & Dissertations
G protein-coupled receptors (GPCRs) constitute the largest group of membrane receptor proteins in eukaryotes. Due to their significant roles in many physiological processes such as vision, smell, and inflammation, GPCRs are the targets of many prescribed drugs. However, the functional and structural diversity of GPCRs has kept their prediction and classification based on amino acid sequence data as a challenging bioinformatics problem. As existing computational methods to predict and classify GPCRs are focused on mammalian (mostly human) data, the ultimate goal of our project is to establish an ensemble approach and implement a web-based software that can be used reliably …
Classification Of Radar Jammer Fm Signals Using A Neural Network Approach, Ariadna Estefania Mendoza
Classification Of Radar Jammer Fm Signals Using A Neural Network Approach, Ariadna Estefania Mendoza
Open Access Theses & Dissertations
A Neural Network (NN) used to classify radar signals is proposed for the purpose of military survivability and lethality analysis. The goal of the NN is to correctly differentiate Frequency-Modulated (FM) signals from Additive White Gaussian Noise (AWGN) using limited signal pre-processing. The FM signals used to test the NN approach are the linear or chirp FM and the power-law FM. Preliminary simulations using the moments of the signals in the time and frequency domain yielded better results in the frequency domain, suggesting that time domain training would not be as effective frequency domain training. To test this hypoThesis, we …